PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for
Breast Cancer Metastasis Analysis

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PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019

3 May 2019

Hao Chen

Pheng-Ann Heng

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Papers citing "PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis"

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Title
Memory-Efficient Prompt Tuning for Incremental Histopathology ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2024 Yu Zhu Kang Li Lequan Yu Pheng-Ann Heng VLM 198 2 0 22 Jan 2024
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide ImagesPattern Recognition (Pattern Recogn.), 2023 Hao Wang Euijoon Ahn Jinman Kim 208 16 0 20 Mar 2023
Deep Learning for Computational Cytology: A Survey Hao Jiang Yanning Zhou Yi Lin R. Chan Jiangshu Liu Hao Chen 260 94 0 10 Feb 2022
An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features Ziquan Wei Shenghua Cheng Junbo Hu Li Chen Shaoqun Zeng Xiuli Liu 202 10 0 29 Jun 2021
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends Naira Elazab Hassan H. Soliman Shaker El-Sappagh S. Islam Mohammed M Elmogy 172 22 0 10 Nov 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 388 651 0 28 Dec 2019